Fast and Accurate Numerical Integration of the Langevin Equation with Multiplicative Gaussian White Noise
A univariate stochastic system driven by multiplicative Gaussian white noise is considered. The standard method for simulating its Langevin equation of motion involves incrementing the system’s state variable by a biased Gaussian random number at each time step. It is shown that the efficiency of su...
Saved in:
| Main Authors: | Mykhaylo Evstigneev, Deniz Kacmazer |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-10-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1099-4300/26/10/879 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Numerical Generation of Trajectories Statistically Consistent with Stochastic Differential Equations
by: Mykhaylo Evstigneev
Published: (2025-07-01) -
Assessing the suitability of the Langevin equation for analyzing measured data through downsampling
by: Pyei Phyo Lin, et al.
Published: (2025-01-01) -
Effects of Multiplicative Noise in Bistable Dynamical Systems
by: Sara C. Quintanilha Valente, et al.
Published: (2025-02-01) -
New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
by: Rahman Ullah Khan, et al.
Published: (2025-02-01) -
The Dynamics of Nonequilibrium Transitions Induced By the Cross-Correlated Noises: Numerical Results
by: A.N. Vitrenko, et al.
Published: (2010-01-01)